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2020

AI-Driven Strategies for Achieving Dynamic Fault Tolerance in Cloud Computing and Data Engineering

International Journal of Emerging Trends in Science and Technology, 2020, 2 August 2021 , Page 1-31
https://doi.org/10.18535/ijetst/v7i12.02

Abstract

Cloud computing and data engineering systems have become indispensable for modern enterprises, powering critical applications across diverse domains. However, ensuring high availability and reliability in these systems remains a significant challenge due to their inherent complexity and scale. Traditional fault tolerance mechanisms, such as static redundancy and check pointing, often lack the adaptability required to address dynamic and unpredictable failures effectively. This research explores the integration of Artificial Intelligence (AI) to enable dynamic fault tolerance, proposing a comprehensive framework that leverages AI-driven strategies for fault detection, prediction, and recovery.


The proposed framework utilizes advanced AI techniques, including machine learning and deep learning, to analyse telemetry and system log data in real time, enabling proactive fault management. A novel predictive model is introduced to anticipate potential failures, while decision-making algorithms orchestrate rapid recovery processes, minimizing downtime and optimizing resource utilization.


Through extensive simulations and real-world case studies, the framework demonstrates significant improvements over traditional methods, achieving lower mean time to recovery (MTTR) and enhanced system uptime. This study also highlights the practical challenges of implementing AI-driven fault tolerance, including data quality and ethical considerations, while identifying opportunities for future integration with emerging technologies like quantum computing.


The findings underscore the transformative potential of AI in redefining fault tolerance for cloud computing and data engineering, paving the way for more resilient and adaptive systems

How to Cite

Pentyala, D. K. (2020). AI-Driven Strategies for Achieving Dynamic Fault Tolerance in Cloud Computing and Data Engineering. International Journal of Emerging Trends in Science and Technology, 7(12), 1–31. https://doi.org/10.18535/ijetst/v7i12.02

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